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Photonic AI chip targets faster convolutions with far less energy

Engineers at the University of Florida have built a photonic chip that performs convolutions, the most compute-heavy operation in modern AI, using light instead of electricity and delivering roughly ...
IEEE

Domain Adversarial Generalized Networks for Real-Time Fault Diagnosis of Rolling Bearings Without the Need for Target Domain Samples

Abstract: In the Industrial Internet of Things (IIoT), detecting and identifying faults in machinery is crucial as it helps to eliminate potential failures and reduce losses caused by these faults.
IEEE

A Multi-Source Domain Unsupervised Multi-Scale Convolution Attention Model for Bearing Fault Diagnosis

Abstract: The varying operating conditions of machine tools in different work tasks make it difficult to obtain complete bearing health status data, and the distribution of bearing health status data ...